Full Stack Geospatial Software Engineer

Near Space Labs designs, builds, and operates a fleet of stratospheric robots to image the earth using balloon-based imaging technology.
$90,000 - $150,000
Backend
Senior Software Engineer
Remote
5+ years of experience
Space

Description For Full Stack Geospatial Software Engineer

Near Space Labs is revolutionizing earth imaging through their innovative fleet of stratospheric robots. Operating at altitudes between 40,000 and 60,000 feet, these balloon-based imaging robots capture petabytes of imagery for diverse applications.

As a Full Stack Geospatial Software Engineer, you'll be at the forefront of evolving our petabyte-scale geospatial imagery pipeline. This role combines frontend and backend development, working with cutting-edge technologies like React, Angular, and Python to build and maintain sophisticated geospatial visualization tools and APIs.

You'll be joining an enthusiastic, international team in a diverse and inclusive workplace, where novel solutions to interesting problems are encouraged. The role offers significant autonomy and the opportunity to work with modern technologies including Kubernetes, GCP, and various geospatial libraries.

The position offers competitive compensation ($90,000-$150,000), comprehensive benefits, and equity opportunities. You'll be part of a startup culture that values innovation, rigorous thinking, and professional growth. The remote work environment provides flexibility while maintaining strong collaboration with data and software engineering teams.

This role is perfect for experienced developers who are passionate about geospatial technology, comfortable with both frontend and backend development, and excited about building scalable solutions that directly impact the delivery of high-quality imagery to customers.

Last updated a month ago

Responsibilities For Full Stack Geospatial Software Engineer

  • Working with React, Angular, Typescript and vanilla JavaScript to design, build, and maintain geospatial data visualization tools
  • Maintaining and updating proprietary mission control application
  • Writing efficient, scalable Python APIs and web services
  • Rapid generation of functional prototypes

Requirements For Full Stack Geospatial Software Engineer

Python
React
TypeScript
JavaScript
MongoDB
PostgreSQL
Kubernetes
  • 5+ years of experience in professional software development
  • Proficient in Python with experience building efficient, scalable APIs
  • Experience with Typescript and at least one commonly used framework
  • Experience with front-end geospatial libraries
  • Knowledge of web mapping services
  • Understanding of scalable microservices
  • Ability to work autonomously

Benefits For Full Stack Geospatial Software Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • 25 days annual Paid Time Off
  • 10 days annual sick leave
  • 401K Plan with company match
  • Medical, dental, and vision coverage
  • Opportunity for equity
  • Training and development opportunities

Interested in this job?

Jobs Related To Near Space Labs Full Stack Geospatial Software Engineer

Full Stack Geospatial Software Engineer

Full Stack Geospatial Software Engineer position at Near Space Labs, working on stratospheric imaging technology and geospatial data tools.

Senior OEM Networking Commodity Manager

Senior OEM Networking Commodity Manager position at Google, managing supplier relationships and sourcing strategies for networking hardware infrastructure.

Senior Application Engineer

Senior Application Engineer position at Google, focusing on business systems integration and internal process optimization using Java, Python, and cloud technologies.

Senior Software Engineer, Full Stack, Google Workspace

Senior Software Engineer position at Google Workspace, focusing on full-stack development with competitive compensation and opportunity to work on products impacting billions of users.

Senior Application Engineer

Senior Application Engineer position at Google, focusing on business systems integration and internal process optimization using Java, Python, and cloud technologies.